Learning objectives

Students should be able to do each of the following by the end of this course:

What is statistics? overview of the course

R Lab: Basics


R lab: probability

Working with data (make-up for session 2)

Summarizing data

R lab: Data wrangling and visualization

Fitting models (central tendency)

Visualizing data


Resampling and simulation

R Lab: Simulation and resampling

Hypothesis testing

Confidence intervals and effect sizes

Modeling categorical relationships

Modeling continuous relationships (RP Gone - need guest lecturer)

The general linear model

Comparing means

Statistical Inference R lab

Statistical modeling: Practical examples

Doing reproducible research